Tech Challenge 2024 - ReLoom

Problem Statement

This application is a prototype for a tool that helps companies in the resale market to identify and price second hand clothing items. As correctly identifying and pricing items is a time-consuming process which often includes human labor, the tool aims to automate this process using image recognition and natural language processing. The tool should be able to categorize clothing items based on images and provide a price estimate for the item based of available second hand market data.

Execution

Docker Compose

The simplest way to run the application is to use docker-compose. This will start the frontend and backend services in separate containers. For the application to work correctly, you need to set the OPENAI_API_KEY environment variable to your OpenAI API key. It only requires Docker to be installed on your system. Run the following commands to start the application in the root directory of the project:

export OPENAI_API_KEY=sk-your-key-here
docker-compose up

The frontend will be available at http://localhost:3001 and the backend will be available at http://localhost:3002.

Manual Setup

If you prefer to run the frontend and backend services manually, you can follow the instructions below.

Requirements:

• Node.js
• Yarn
• Python 3.8
• Poetry

Frontend

cd frontend
yarn install
yarn dev

Backend

cd backend
poetry install
poetry run python -m lens_gpt_backend.main

Technical Background

Frontend

Read the frontend documentation for more information.

Backend

Read the backend documentation for more information.